Pixel rating is considered one of the commonly used critical factors in digital image
processing that depends on intensity. It is used to determine the optimal image …

Naturally, to analyze an image accurately, all the similar objects within it should be
separated to pay attention to the most important object for reaching more details and hence …

This paper studied the multilevel threshold image segmentation-based metaheuristics
optimization methods and their applications. Image segmentation is a common problem in …

Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …

Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …

Multilevel thresholding is an effective and indispensable technology for image segmentation
that has attracted extensive attention in recent years. However, the multilevel thresholding …

This paper proposes a multi-threshold image segmentation method based on modified salp
swarm algorithm (SSA). Multi-threshold image segmentation method has good …

Image segmentation is one of the pivotal steps in image processing. Actually, it deals with
the partitioning of the image into different classes based on pixel intensities. This work …

Multilevel thresholding is one of the most popular approaches used for image segmentation.
Several methods have been used to find the threshold values; however, metaheuristic (MH) …

Image processing is one of the major research regions in the most recent decades, in which,
image segmentation has gained more popularity due to its enormous applications. Before …